Journal of Agricultural Big Data ›› 2020, Vol. 2 ›› Issue (1): 11-20.doi: 10.19788/j.issn.2096-6369.200102

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Progress in the Application of Big Data in fishery in China

Jinxiang Cheng(), Yingze Sun, Jing Hu, Xue Yan, Haiying Ouyang()   

  1. Chinese Academy of Fishery Sciences, Beijing 100041,China
  • Received:2019-11-20 Online:2020-03-26 Published:2020-06-02
  • Contact: Haiying Ouyang E-mail:chengjinxiang@cafs.ac.cn;ouyang@cafs.ac.cn

Abstract:

Big data has become an essential resource for green fisheries, and is an important focus for innovation in fisheries science and technology. Big data promotes the production, operation, management, and service provisions of fisheries, and plays a pivotal role in advancing the integration of primary, secondary, and tertiary industries in fisheries. China is the largest aquaculture country in the world, and attaches great importance to research and application development of big data in modern fisheries. For historical and practical reasons, fisheries big data is characterized by diversified resource channels, complex structures, uneven quality, wide application scope, and low overall data quality. Therefore, for research on, and application of fisheries big data in China, it is important to review the progress regarding the application of such data systematically, and clarify the direction of future development. Based on literature research and related scientific research practices, this article compares and analyzes the definitions of fisheries big data by different scholars; elaborates on the concept of fisheries big data; introduces the multiple sources and main characteristics of fisheries big data; and reviews the management and policy progress of fisheries big data. The development and application of fisheries big data in recent years have focused mainly on scientific research, aquaculture management, resource investigation, and economic circulation. In combination with engineering practice, this article explores the scenario application of fisheries big data. Finally, based on the current situation, it identifies the problems and challenges, and provides suggestions for further promoting the development of fisheries big data in China.

Key words: big data in fishery, progress in application, scientific data in fishery, big data

CLC Number: 

  • G203